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www.eeworm.com/read/415313/11076420
m demkmn1.m
%DEMKMEAN Demonstrate simple clustering model trained with K-means.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distri
www.eeworm.com/read/415313/11076514
m demknn1.m
%DEMKNN1 Demonstrate nearest neighbour classifier.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distributions with prio
www.eeworm.com/read/415313/11076698
m demmlp2.m
%DEMMLP2 Demonstrate simple classification using a multi-layer perceptron
%
% Description
% The problem consists of input data in two dimensions drawn from a
% mixture of three Gaussians: two of which
www.eeworm.com/read/413912/11137135
m demhmc1.m
%DEMHMC1 Demonstrate Hybrid Monte Carlo sampling on mixture of two Gaussians.
%
% Description
% The problem consists of generating data from a mixture of two
% Gaussians in two dimensions using a hybr
www.eeworm.com/read/413912/11137140
m demkmn1.m
%DEMKMEAN Demonstrate simple clustering model trained with K-means.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distri
www.eeworm.com/read/413912/11137222
m demknn1.m
%DEMKNN1 Demonstrate nearest neighbour classifier.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distributions with prio
www.eeworm.com/read/413912/11137398
m demmlp2.m
%DEMMLP2 Demonstrate simple classification using a multi-layer perceptron
%
% Description
% The problem consists of input data in two dimensions drawn from a
% mixture of three Gaussians: two of which
www.eeworm.com/read/266537/11220121
c arbitrage.c
/* University of Ulm Programming Contest 1996
Problem A: Arbitrage
Implementation: Mark Dettinger */
#include
#include
#define max(a,b) ((a)>(b)?(a):(b))
main()
{
FILE*
www.eeworm.com/read/266537/11220125
c eenymeeny.c
/* University of Ulm Programming Contest 1996
Problem E: Eeny Meeny Moo
Implementation: Mark Dettinger */
#include
int n; /* number of cities */
int next[200]; /* ring for
www.eeworm.com/read/266537/11220236
c tree.c
/* Contest : Ulm Local Contest 1997
* Problem H : Tree Recovery
* Method : Recursive Descent
* Author : Mark Dettinger
* Date : June 13, 1997
*/
#include
#include